Data Engineer, HQ

S'more about the team

The Data Engineer is responsible for driving critical data infrastructure development, optimization and adoption to scale organizational data and analytics capabilities. This includes building data pipelines, defining data storage, management, and governance strategies, assessing new technologies, and deploying data assets and solutions into production, including effectively communicating the scope and details of these data solutions to both data-centric and non-data-centric stakeholders. Reporting to the Manager of Data Operations, this role will work within a team of Data Engineers on building effective and scalable data infrastructure.

Lettuce share what this role will be responsible for

• Lead the design and development of various engineering solutions, across multiple stakeholder groups, including building data pipelines, maintaining critical infrastructure, and deploying various data solutions into production
• Collaborate with data scientists, business intelligence specialists, and other data peers to deliver best in class data assets (e.g. databases, systems/tools, web apps) to the organization as part of a holistic data framework/strategy, to facilitate effective, long-term scalability
• Work with local and global stakeholders to accelerate the deprecation of legacy systems/data stacks, as well as the implementation of next-gen replacement systems, to better align to a global infrastructure and data strategy, including providing technical consultation on best practices and strategy
• Lead the development of documentation around critical infrastructure, data systems, data tables, data flows, and other data artefacts for knowledge socialization, including engaging with and training stakeholders when necessary, to drive data fluency and adoption
• Support manager with elements of team management activities, including talent acquisition, performance management, career development, and upskilling
• Liaise with Global data engineering teams to identify opportunities for collaboration, support, knowledge sharing and adoption of infrastructure

Sound a-peeling? Here's what we're looking for

• 3-5 years of experience leading large-scale data engineering projects and mentoring junior engineering resources
• Demonstrable experience and familiarity with relevant, industry-leading data tools/systems (e.g., Databricks, Airflow, Snowflake, AWS/S3, Docker, Kubernetes, GitHub, StreamLit, etc.)
• Advanced, demonstrable Python programming knowledge and experience
• Advanced, demonstrable SQL querying knowledge and experience
• Experience delivering quantifiable value for various commercial stakeholder groups, including driving data training initiatives, and clearly communicating technical details to non-technical stakeholders to enable critical decision-making
• Experience supporting team data strategies and operating models with business partners
• Bachelor’s degree in STEM, Economics or Business preferred, or equivalent work experience
  
  

Let’s cut to the cheese, this is why you'll love it here

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Develo